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scmap

A tool for unsupervised projection of single cell RNA-seq data

Bioconductor version: 3.24 · Package version: 1.35.0

Single-cell RNA-seq (scRNA-seq) is widely used to investigate the composition of complex tissues since the technology allows researchers to define cell-types using unsupervised clustering of the transcriptome. However, due to differences in experimental methods and computational analyses, it is often challenging to directly compare the cells identified in two different experiments. scmap is a method for projecting cells from a scRNA-seq experiment on to the cell-types or individual cells identified in a different experiment.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("scmap")

Details

MaintainerVladimir Kiselev <vladimir.yu.kiselev@gmail.com>
AuthorVladimir Kiselev
LicenseGPL-3
URLhttps://github.com/hemberg-lab/scmap
Bug Reportshttps://support.bioconductor.org/t/scmap/
Downloads rank915
Source branchdevel
biocViewsClassification, DataImport, DataRepresentation, GeneExpression, ImmunoOncology, Preprocessing, RNASeq, Sequencing, SingleCell, Software, SupportVectorMachine, Transcription, Transcriptomics, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagescmap_1.35.0.tar.gz
Windows binary (x86_64)scmap_1.35.0.zip
macOS binary (arm64)scmap_1.35.0.tgz
macOS binary (x86_64)scmap_1.35.0.tgz
Dependencies

Depends: R (>= 3.4)

Imports: Biobase, SingleCellExperiment, SummarizedExperiment, BiocGenerics, S4Vectors, dplyr, reshape2, matrixStats, proxy, utils, googleVis, ggplot2, methods, stats, e1071, randomForest, Rcpp (>= 0.12.12)

LinkingTo: Rcpp, RcppArmadillo

Suggests: knitr, rmarkdown, BiocStyle